On modeling random data to evaluate the performance of statistical tests in cryptography by U. Y. Palukha, M. A. Prokharchyk, Yu. S. Kharin

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RESULTS OF INTRODUCTING THE PRINCIPLES OF INFECTION CONTROL INTO THE PRACTICE OF THE BELARUS REPUBLICAN TUBERCULOSIS SERVICE by G. L. Gurevich, A. P. Astrovko, E. M. Skryagina, D. A. Klimuk, O. M. Kalechits, A. E. Skryagin

“…The health protection in healthcare workers and patients in different healthcare organizations may be compared on the basis of qualitative and quantitative evaluation of the efficiency of tuberculosis IC measures. …”
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Prediction of Work-relatedness of Shoulder Musculoskeletal Disorders as by Using Machine Learning by Saemi Jung, Bogeum Kim, Yoon-Ji Kim, Eun-Soo Lee, Dongmug Kang, Youngki Kim

“…Background: This study aimed to develop prediction models for the work-relatedness of shoulder diseases through machine learning algorithms. Methods: The dataset comprised 7,270 cases of 8,302 individuals who applied for occupational diseases and received the final approval decision from the Korea Workers' Compensation and Welfare Service's Disease Evaluation Committee, which is related to shoulder musculoskeletal disorders between January 2020 and December 2021. …”
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Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm by Fatemeh Hataminia, Anahita Azinfar

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Impact of a crop insurance mechanism on credit obtained by smallholders: evidence from “Proagro Mais” in Paraná by Carlos Oñate-Paredes, Vitor Augusto Ozaki

“…The methodology incorporates the propensity score matching (PSM) at the endline year, employing three distinct matching algorithms, and PSM at the baseline, coupled with the difference-in-differences method. …”
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Efficient Rollout Algorithms for Resource-Constrained Project Scheduling with a Flexible Project Structure and Uncertain Activity Durations by Chunlai Yu, Xiaoming Wang, Qingxin Chen

“…In addition, rollout algorithms perform more stably than other methods under different problem characteristics.…”
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Predictive Control for an Ankle Rehabilitation Robot Using Differential Evolution Optimization Algorithm-Based Fuzzy NARX Model by Shenglong Xie, Haiming Zhong, Yuntang Li, Su'an Xu, Wenyuan Liu, Shiyuan Bian, Shiwu Zhang

“…For patients with stroke, hemiplegia and ankle injuries, ankle rehabilitation robots can provide personalized rehabilitation treatment programs through quantitative evaluation and precise control. In this paper, based on differential evolution (DE) optimization algorithm and fuzzy nonlinear auto regressive with exogenous inputs (NARX) model, an iterative learning model predictive controller is constructed to achieve accurate and robust trajectory tracking control of an ankle rehabilitation robot driven by pneumatic muscle. …”
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Fuzzy logic expert system for evaluating the activity of university teachers by V. Florin Popescu, M. Sorin Pistol

“…Assessing the performance of academics at different levels is increasingly difficult to achieve using traditional methods based mainly on numerical scores in evaluating teaching and research activity. …”
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An Efficient Multisensor Hybrid Data Fusion Approach Based on Artificial Neural Networks and Particle Swarm Optimization Algorithms by Luc Eyembe Ihonock, Jean-François Dikoundou Essiben, Benjamin Salomon Diboma, Joe Suk Yong

“…The preprocessing stage of data is also included in the suggested technique, which starts with the design of the data-collecting device and ends with a hybrid model algorithm. Particle swarm optimization and artificial neural network methods are combined in the hybrid algorithm. …”
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An enhanced time efficient technique for image watermarking using ant colony optimization and light gradient boosting algorithm by Vipul Sharma, Roohie Naaz Mir

“…When compared with the existing optimization methods, it has been found that the proposed method consumes very less time for the evaluation of optimum solutions. From the results, it has been identified that the proposed algorithm satisfies the image watermarking with the improvement in time enhancement. …”
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An efficient approach for mathematical modeling and parameter estimation of PEM fuel based on Young’s double-slit experiment algorithm by Basma S. Alqadi, Deema Mohammed Alsekait, Mohamed F. Issa, Essam H. Houssein, Fatma H. Ismail, Mokhtar Said, Nour Mostafa, Fahmi Elsayed

“…Abstract This paper introduces a novel optimization algorithm, Young’s double-slit experiment algorithm (YSDE), for accurately estimating the unknown parameters of Proton Exchange Membrane Fuel Cell (PEMFC) models. …”
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Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson’s Disease by Noore Zahra

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Subject based feature selection for hybrid brain computer interface using genetic algorithm and support vector machine by Nida Mateen, Mehreen Naeem, Muhammad Jawad Khan, Talha Yousaf, Ahsan Ali, Wael A. Altabey, Mohammad Noori, Sallam A Kouritem

“…Experiments were performed on publicly available hybrid EEG-EMG and EEG-fNIRS datasets. Evaluation of the proposed method was performed for different channel counts, window frame sizes and lengths of feature combination (2, 3 and 4). …”
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A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm by Xi Wang, Samad Nourmohammadi

“…To do so, this paper conducted two different word embedding models, namely GloVe and Word2Vec, for vectorization. …”
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Adoption of K-means clustering algorithm in smart city security analysis and mythical experience analysis of urban image. by Haotong Han

“…<h4>Objective</h4>An information security evaluation model based on the K-Means Clustering (KMC) +  Decision Tree (DT) algorithm is constructed, aiming to assess its value in evaluating smart city (SC) security. …”
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Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study by Selene Y L Tan, Jia Xin Chai, Minwoo Choi, Umair Javaid, Brenda Pei Yi Tan, Belinda Si Ying Chow, Hairil Rizal Abdullah

“…ObjectiveOur study aims to be the first to develop an algorithm for noninvasive rPPG-based BP and hemoglobin concentration measurement that can be used for preoperative evaluation of patients in real-world clinical practice settings. …”
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Evaluation of Direct Sunlight Availability Using a 360° Camera by Diogo Chambel Lopes, Isabel Nogueira

“…The same applies to the evaluation of the shadowing effects of existing buildings on prospective construction sites and vice versa. …”
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Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

“…Additionally, the algorithm has been tested against a situation in burst error and evaluated via bit error probability (BEP) to establish its robustness and performance. …”
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Classification of Solar Cells EL Images with Different Busbars Via Deep Learning Models by Miktat Aktaş, İbrahim Türkoğlu, Ferdi Doğan

“…In this study, two AI algorithm and 10 different deep learning models were used to classify solar cells. …”
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Optimal Placement of DG to Improve the Reliability of Distribution Systems Considering Time Varying Loads using Genetic Algorithm by Zahra Boor, Seyyed Mehdi Hosseini

“…The best size and location of DGs in distribution systems is determined based on different reliability indices, separately. The effectiveness of the proposed algorithm is examined on a standard distribution systems consisting of 33 nodes and comparative studies are conducted in the different cases to investigate the impacts of optimal DGs placement and its size determination on reliability improvement. …”
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